Siddhant Ray
I am a first year PhD student in Computer Science at the University of Chicago, advised by Junchen Jiang and Nick Feamster. I am broadly interested in machine learning methods for performance improvement in computer networks.
Currently I am investigating how foundational models can be built for network data to learn general network dynamics, and how such models can be shared across specific applications or tasks. I have worked on advances in Software Defined Networking, programmable networks and cloud computing in the past.
Additionally I have spent some time working on developing NLP techniques to analyse politcal corpora.
I'm fortunate to be additionally supported by the Liew Family Graduate Fellowship. Prior to starting my PhD, I earned my MSc in Electrical Engineering and Information Technology at ETH Zurich and my B.Tech in Electronics and Communication Engineering at VIT Vellore.
News
Sep, 2023 | Joined the University of Chicago as a PhD student in Computer Science. |
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Nov, 2022 | Paper titled A new hope for network model generalization presented at ACM HotNets’22. |
Sep, 2022 | Joined the Advanced Network Architectures Lab at UPC Barcelona as a Researcher. |
Sep, 2022 | Graduated with MSc. in EEIT from ETH Zurich. |